WAVES (Web-based tool for Analysis and Visualization of Environmental Samples)-a web application for visualization of wastewater pathogen sequencing results.


Journal

Bioinformatics (Oxford, England)
ISSN: 1367-4811
Titre abrégé: Bioinformatics
Pays: England
ID NLM: 9808944

Informations de publication

Date de publication:
03 04 2023
Historique:
received: 08 06 2022
revised: 27 02 2023
accepted: 05 03 2023
medline: 11 4 2023
pubmed: 6 4 2023
entrez: 5 4 2023
Statut: ppublish

Résumé

Environmental monitoring of pathogens provides an accurate and timely source of information for public health authorities and policymakers. In the last 2 years, wastewater sequencing proved to be an effective way of detection and quantification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants circulating in population. Wastewater sequencing produces substantial amounts of geographical and genomic data. Proper visualization of spatial and temporal patterns in these data is crucial for the assessment of the epidemiological situation and forecasting. Here, we present a web-based dashboard application for the visualization and analysis of data obtained from sequencing of environmental samples. The dashboard provides multi-layered visualization of geographical and genomic data. It allows to display frequencies of detected pathogen variants as well as individual mutation frequencies. The features of WAVES (Web-based tool for Analysis and Visualization of Environmental Samples) for early tracking and detection of novel variants in the wastewater are demonstrated in an example of BA.1 variant and the signature Spike mutation S: E484A. WAVES dashboard is easily customized through the editable configuration file and can be used for different types of pathogens and environmental samples. WAVES source code is freely available at https://github.com/ptriska/WavesDash under MIT license. A demo version of this application can be accessed at: https://wavesdashboard.azurewebsites.net/.

Identifiants

pubmed: 37018136
pii: 7108768
doi: 10.1093/bioinformatics/btad160
pmc: PMC10081868
pii:
doi:

Substances chimiques

Wastewater 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press.

Auteurs

Petr Triska (P)

Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna 1090, Austria.
CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna 1090, Austria.

Fabian Amman (F)

Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna 1090, Austria.
CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna 1090, Austria.

Lukas Endler (L)

Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna 1090, Austria.
CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna 1090, Austria.

Andreas Bergthaler (A)

Institute for Hygiene and Applied Immunology, Center for Pathophysiology, Infectiology and Immunology, Medical University of Vienna, Vienna 1090, Austria.
CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, Vienna 1090, Austria.

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